Use case of

634 AI

tag
Machinery & Components [MC] including Industrial Automation
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High level customers
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What Challenges are you solving in this industry

  • Automation using robotics [CTAR]

  • Data collection using sensing and imaging [DCSI]

  • Improving Availability and Reducing downtime (i.e predictive maintenance reliability) [PM]

  • Improving Process Productivity/Yield - Asset/Process performance management [APY]

  • Process digitalisation and automation [PDA]

  • Supply-chain efficiency and visibility [SCE]

Description of solution

634AI was founded to enable safer, smarter autonomous indoor mobility – for everyone, everywhere. Our product is MAESTRO, the world’s first open API management software for industrial mobility, integrating RTLS driven productivity data, real-time safety, and mobile robots navigation and fleet management – all in a unified system and at a fraction of the price of today’s solutions.

MAESTRO is a centralized Control Tower that enables effective and harmonized indoor operations. Its top-down visibility enables customers a fully coordinated operation of anything mobile. Be it track and trace movements of goods and equipment, real-time safety alerts for man-driven vehicles, or operating fleets of mobile robotic platforms (AGVs and AMRs) in crowded environments, MAESTRO understands everything in motion on the floor and orchestrates the action.

MAESTRO is a proprietary vision-based Real-Time Location System, enabling dynamic object detection, classification, and location tracking. The advantages of computer vision and AI removes the need to pre-tag objects with expensive hardware to detect or track them in real-time. MAESTRO just sees it as it is and understands it, wherever it is, whenever it is.

MAESTRO is leading the paradigm shift towards vision-based navigation with complete spatial awareness, enabling not only superior navigation capabilities of mobile robots based on AI but also semantic applications that enable robots to understand their environment at a more sophisticated level. Through its panoptic view of the floor, MAESTRO uses vision processing capabilities to put hardware in motion, synchronizing indoor mobility of AMRs, man-driven vehicles, raw materials, and human workers, for the first time through one integrated system.

Using industry-grade cameras to provide a continuous video stream of the floor from above, MAESTRO generates a ‘breathing’ map of the site. MAESTRO can provide Spaghetti Diagrams and Heat Maps, distance traveled, and speed. It can map areas that are prone to safety events and provide real-time hazard alerts for man-driven vehicles, for obstacles on the horizon. Its vision capability can be used even to fully navigate vehicles.

What is the value you bring to your customers?

AMRs are expensive equipment, far beyond the reach of many mid-sized companies. They also suffer from tunnel vision, with a limited ability to map and understand the entire environment and foresee safety events. Each of these AMRs, manufactured by different vendors, comes with its own operating, navigation, and fleet management system. This software bottleneck in AMR operations results in what is known as the interoperability problem.

643AI was able to overcome these major challenges by developing a proprietary architecture that enables cost-effective autonomy: MAESTRO’s vision-based navigation (vSLAM) enables one to strip the vehicle from the expensive hardware components traditionally used for navigation, replacing them with one, centralized, AI-powered brain. The brain is shifted from each end device to a central processing unit which takes full responsibility for floor semantics as well as the AMR navigation. This reduces the costs of traditional robotic platforms because the expensive hardware associated with navigation isn’t necessary.

This unique central control architecture enables cost-reduction for the robotic platform itself and is completely agnostic to the robot, resulting in benefits of up to 70% reduction in mobile robot costs and up to 25% in overall floor productivity.

MAESTRO’s panoptic view of the floor powered by a centralized AI engine enables it to generate tasks for mobile robots completely autonomously across the floor, understanding and navigating the robots effectively and in sync with all other moving objects. This achieves not only AMR interoperability but full-floor interoperability – coordinating the work of AMRs, AGVs, man-driven forklifts, raw material movement, and people movement on the floor – all in sync and with greater safety.

With MAESTRO, there is no need to pre-tag objects with additional electromagnetic radiation emitting hardware components. AMRs can be dramatically cheaper, with better floor understanding, and completely interoperable with any other mobile devices on the floor, via one management software, at an affordable price.

MAESTRO’s real-time panoptic view of the floor enables to prevent accidents and collisions from happening on the floor. IT sees everything way in advance and can alert in real-time forklift drivers, of an object located even out of their line of sight or behind the corner. Near miss analysis and reporting can identify areas more prone to accidents, so managers can take the necessary safety measures to avoid potential EHS issues in the future.

Time to implementation

Days